'''simple docstring'''





def       lowerCAmelCase_							(   snake_case_			:					int = 1_00_00_00     )       -> int:


     '''simple docstring'''




     UpperCAmelCase_			       =  limit + 1
     UpperCAmelCase_			       =  [0] * limit
     for first_term in range(1   ,       snake_case_     ):
          for n in range(snake_case_   ,       snake_case_   ,       snake_case_     ):
               UpperCAmelCase_			       =  first_term + n / first_term
               if common_difference % 4:  # d must be divisble by 4
                    continue
               else:
                    common_difference /= 4
                    if (
                        first_term > common_difference
                        and first_term < 4 * common_difference
                    ):  # since x,y,z are positive integers
                         frequency[n] += 1  # so z>0 and a>d ,also 4d<a

     UpperCAmelCase_			       =  sum(1 for x in frequency[1:limit] if x == 10     )

     return count


if __name__ == "__main__":
    print(f"{solution() = }")






import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


lowercase    :   List[str]						=			logging.get_logger(__name__)




class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	def __init__(   self						:Dict	,  *a						:Tuple	,  **a						:List[Any]		)						->					None:
								warnings.warn(
								    "The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
								    " Please use PerceiverImageProcessor instead."	,  a	,  )
								super().__init__(*a	,  **a		)